Nazneen Rajani
Ph.D. Student
Ensembling Visual Explanations for VQA 2017
Nazneen Fatema Rajani, Raymond J. Mooney, To Appear In Proceedings of the NIPS 2017 workshop on Visually-Grounded Interaction and Language (ViGIL), December 2017.
Stacking With Auxiliary Features 2017
Nazneen Fatema Rajani and Raymond J. Mooney, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), pp. 2634-2640, Melbourne, Australia 2017.
Using Explanations to Improve Ensembling of Visual Question Answering Systems 2017
Nazneen Fatema Rajani and Raymond J. Mooney, In Proceedings of the IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pp. 43-47, Melbourne, Australia, August 2017.
Combining Supervised and Unsupervised Ensembles for Knowledge Base Population 2016
Nazneen Fatema Rajani and Raymond J. Mooney, To Appear In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP-16) 2016.
Stacking With Auxiliary Features 2016
Nazneen Fatema Rajani and Raymond J. Mooney, ArXiv preprint arXiv:1605.08764 (2016).
Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles 2016
Nazneen Fatema Rajani and Raymond J. Mooney, In Proceedings of the Ninth Text Analysis Conference (TAC 2016) 2016.
Stacking With Auxiliary Features: Improved Ensembling for Natural Language and Vision 2016
Nazneen Fatema Rajani, PhD proposal, Department of Computer Science, The University of Texas at Austin.
Stacked Ensembles of Information Extractors for Knowledge-Base Population 2015
Vidhoon Viswanathan, Nazneen Fatema Rajani, Yinon Bentor, and Raymond J. Mooney, In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL-15), pp. 177-187, Beijing, China, July 2015.
Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches 2015
Nazneen Fatema Rajani and Raymond J Mooney, In Proceedings of the Eighth Text Analysis Conference (TAC 2015), November 2015.
Currently affiliated with Machine Learning